Current Issues in Expert SystemsAxel Lamsweerde, Pierre Dufour Early work in artificial intelligence was mainly concerned with general problem-solving procedures. The application of these procedures to large "real world" problems was at first unsuccessful. Major progress was later made by allowing the problem-solving process to make use of separate, explicit sources of knowledge, concerning highly specific problem domains. This gave rise to a first generation of expert knowledge-based systems. The next step was to improve the power and flexibility of the various knowledge-processing techniques and to develop effective software and hardware architectures to implement them efficiently. This major challenge remains at the core of many of the "fifth-generation" computer projects. |
Contents
Introduction | 1 |
Summary and conclusions | 7 |
separating the medical knowledge from | 11 |
Copyright | |
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algorithm Alto apes application Artificial Intelligence assertion behaviour believes BigCo bugs bytecode cache circuit Clancey clause command components command language command-language grammar complex Concurrent PROLOG Conf conjuncts context database decomposition defined delete described developed diagnosis dialogue domain Dorado example executed expert systems explanation Figure front-end function game-theoretic GUIDON hardware HERACLES heuristics hypothesis idea implementation inference input Intelligent Tutoring Systems interaction interpreter knowledge base knowledge representation learning LISP logic programming MACSYMA memory system meningitis metarules method microcode microprocessor microprograms MYCIN NEOMYCIN object pointers operators output parameters personal computer play Plessey predicate problem problem-solving Proc procedure PROLOG propositions query Query-the-User reasoning relation representation role rules selector semantic sequence simulation SMALLTALK SMALLTALK-80 solving specification stack strategy structure student superclass Sword32 t-rules teaching tion user's variables VLSI workstations α α α